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Generative Ai Testing Jobs in Delaware (NOW HIRING)

Java Full stack Developer

Newark, DE · On-site

$51.25 - $66.25/hr

... code, testing techniques, and support activities to enrich the knowledge base and assist other ... Generative AI and Agentic AI concepts • Good knowledge of PL/SQL • Strong communication and ...

... coverage in system-level testing. Create and execute test plans, test requirements, test ... as generative AI or automated writing assistance, during any stage of the interview process.

Lead Software Engineer

Newark, DE · On-site

$128K - $200K/yr

Promote best practices in secure software development, testing, and documentation. * Foster a ... as generative AI or automated writing assistance, during any stage of the interview process.

Lead Software Engineer

Newark, DE · On-site +1

$128K - $200K/yr

Promote best practices in secure software development, testing, and documentation. * Foster a ... as generative AI or automated writing assistance, during any stage of the interview process.

Systems Engineer

Newark, DE · On-site

$78K - $122K/yr

... testing, and troubleshooting. You will work alongside electrical, mechanical, and software ... as generative AI or automated writing assistance, during any stage of the interview process.

Systems Engineer

Newark, DE · On-site

$78K - $122K/yr

... testing, and troubleshooting. You will work alongside electrical, mechanical, and software ... as generative AI or automated writing assistance, during any stage of the interview process.

UX/UI Designer

Wilmington, DE · Hybrid

$41.20 - $65.52/hr

Conducts comprehensive UX research, usability testing, and website analytics data to gather ... Applies a strong understanding of SEO (Search Engine Optimization) and GEO (Generative Engine ...

Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Delaware? For Generative Ai Testing jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Delaware look for? The top searched job categories for Generative Ai Testing jobs in Delaware are:
What cities in Delaware are hiring for Generative Ai Testing jobs? Cities in Delaware with the most Generative Ai Testing job openings:
Senior Full-Stack AI Developer

Senior Full-Stack AI Developer

The Chemours Company

Wilmington, DE • On-site

Full-time

Retirement

Posted 12 days ago


Chemours rating

7.1

Company rating: 7.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

65th of 91 rated chemical manufacturers


Job description

As we create a colorful, capable and cleaner world through chemistry, we invite you to join our team to harness the power of chemistry to shape markets, redefine industries and improve lives for billions of people around the world.
CREATING ESSENTIAL CHEMISTRY THAT THE WORLD NEEDS
At Chemours, our people are redefining how the world thinks of chemistry by approaching everything we do with a commitment to delivering Trusted Chemistry that creates better lives and helps communities thrive. That begins with how we use our science, data, and unmatched technical expertise to develop market-leading products with the highest levels of performance, sustainability, and safety in the industry.
Powered by chemistry, our products are used in applications that make the products we rely on, processes, and new technologies possible. In key sectors such as clean energy, advanced electronics, high-performance computing and AI, climate friendly cooling, and high-quality paints and coatings for homes and industrial infrastructure---sustainable solutions and more modern living depend on Chemours chemistry.
Chemours is seeking a Senior Full-Stack AI Developer to join our growing AI & Data Science team. This HYBRID position will be available at Wilmington DE and report directly to the Head of Data Science & AI. For the right candidate we may consider remote.
Experienced full stack software engineer who has a track record of designing & launching apps (for internal and 3rd party use) & GenAI solutions. Successful candidates will be able to thrive in a fast paced, ambiguous environment with a continuous learning mindset. Role will also require heavy stakeholder/end-user engagement throughout the build process. Accommodate eastern time zone working hours.
The responsibilities of the position include, but are not limited to, the following:
  • Design, architect, implement, and productionize applications across both traditional software and Generative AI use cases.
  • Partner with users and stakeholders to gather requirements and deliver intuitive, high-quality user experiences.
  • Lead high-impact initiatives across multiple business functions, including Manufacturing, Legal, Finance, R&D, Supply Chain, Procurement, and Sales.
  • Identify, design, and integrate Generative AI solutions into existing business workflows to deliver measurable value.
  • Own product direction for assigned solutions, including roadmap definition, backlog prioritization, and release planning.
  • Mentor & help accelerate the work of junior developers; foster collaboration and teamwork
  • Collaborate with related teams (ie. Cybersecurity, Infrastructure, Data Engineering, Office 365) to go thru approvals, architecture, security & governance reviews
  • Address technical debt and build scalable, reusable architectures that are well documented and conform to security and compliance standards
  • Organize and lead user workshops to identify high-ROI use cases.
  • Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.

Success in this role is measured by the:
  • Volume & speed of high-ROI apps put into prod
  • Quality of UX and code (as measured by user feedback, ROI, usage)
  • Cost/time needed to develop & maintain the solution
  • How reusable & easily- scalable the solution & codebase is to other use cases
  • How well and frequently the postholder helps accelerate the ENTIRE team's technical work (via peer programming, debugging help, mentoring, etc)

The following is required for this role:
  • Degree in Software Engineering, Computer Science or another related field
  • 7+ years building enterprise-grade applications, ideally with Microsoft Azure tools (eg. Fabric, Azure AI Foundry, Azure resources & platforms).
  • 5+ years advanced backend development with Python
  • 5+ years advanced backend development with Javascript
  • Minimum 4+ years UI & frontend development with React.js, Typescript, and HTML.
  • 2+ years designing, coding, and deploying custom GenAI GPTs and multi-agent GenAI systems in production (using Python).
  • Excellent English communication skills, in particular with non-technical users; proven ability to translate user needs into technical specs and regularly communicate progress to a wide range of technical & non-technical stakeholders.

The following is preferred for this role:
  • Experience designing & launching Copilot Studio GenAI agents (i.e. advanced multi-agent solutions).
  • Experience with PyTorch, including training and fine-tuning pre-trained models, and iterating on model performance using task-specific data and empirical evaluation.
  • Strong experience building and operating CI/CD pipelines for AI and software systems in Azure-based environments, including automated testing, deployment, and secure, reproducible releases.
  • Enthusiasm for keeping current with advances in AI and machine learning, with the ability to translate new research, models, and techniques into practical, production-ready solutions.
  • Azure Kubernetes experience
  • Knowledge graph design and ontology creation (eg. Fabric IQ or Neo4j)

Benefits:
Competitive Compensation
Comprehensive Benefits Packages
401(k) Match
Employee Stock Purchase Program
Tuition Reimbursement
Learning and Development Opportunities
Strong Inclusion and Diversity Initiatives
Company-paid Volunteer Day
We're a different kind of chemistry company because we see our people as our biggest assets. Instead of focusing just on what our employees do each day, we look at how they do it-by taking a different approach to talent development, employee engagement, and culture. Our goal is to empower employees to be their best selves, at Chemours and in life.
Learn more about Chemours and our culture by visiting Chemours.com/careers.
Chemours is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, religion, color, gender, disability, national or ethnic origin, ancestry, marital status, family status, sexual orientation, gender identity or expression, or veteran status. Jurisdictions may have additional grounds for non-discrimination, and we comply with all applicable laws.
Chemours is an E-Verify employer
Candidates must be able to perform all duties listed with or without accommodation
Immigration sponsorship (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) is not currently available for this position
Don't meet every single requirement? At Chemours we are dedicated to building a diverse, inclusive, and authentic workplace for our employees. So if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the position description, we encourage you to apply anyways. You may just be the right candidate for this or other opportunities.
In our pursuit to be the greatest place to work, we know that a critical element to enhancing our employee experience is to assure we're operating with a solid foundation of trust. At Chemours, this means being transparent about how we pay our employees for the work that they do.
Pay Range (in local currency):
$126,067.00 - $196,980.00
Chemours Level:
27
Annual Bonus Target:
14%
The pay range and incentives listed above is a general guideline based on the primary location of this job only and not a guarantee of total compensation. Factors considered in extending a compensation offer include (but are not limited to) responsibilities of the job, experience, knowledge, skills, and abilities, as well as internal equity, and alignment with market data. The incentive pay is dependent on business results and individual performance and subject to the terms and conditions of the specific plans.
At Chemours, you will find sustainability in our vision, our business and your future. If you want to work on the leading edge of your field and have a desire to make a difference, join Chemours and discover what it means when we say "We Are Living Chemistry."

What Chemours employees say

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Benefits

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Chemours logo

About Chemours

Sourced by ZipRecruiter

From the frontline to the back office, every Chemours employee is part of something bigger than themselves as together we work to create a better world through the power of our chemistry. Chemours is a $6.3 billion company with a portfolio of products and processes that enable technologies and products that people use every day in their lives. From cellular phones to lower emission vehicles, to 5G communications and clean energy from hydrogen, we're collaborating with customers to make these innovations more capable. Simply said, we use our chemistry to change lives, shape markets, and redefine industries-one improvement at a time.

Industry

Chemical manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Wilmington, DE, US

Year founded

2015

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